Paper Citation Record · LEDGER

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it

As of 8 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.21498.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.21498 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:19:21.585808Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy0
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation edbbde49-48eb-4126-a55a-d54e82712145 · outbound

This paper cites Do LLMs write like humans? Variation in grammatical and rhetorical styles.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Do LLMs write like humans? Variation in grammatical and rhetorical styles

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:18.732865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94a73379-5117-47aa-bdbe-7d79bf1a8532 · outbound

This paper cites an unresolved cited work.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:18.754315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca3c02bc-6776-4672-85f2-b8b9d2d343a8 · outbound

This paper cites Institutio Oratoria 9.1.30; 9.2.17–18, 59–60; 9.3.88–89 (c.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Institutio Oratoria 9.1.30; 9.2.17–18, 59–60; 9.3.88–89 (c

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:18.769262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f186f6dc-7bd1-4447-b422-02d149263b50 · outbound

This paper cites In Catilinam I.2 and II.1 (63 BCE) (Loeb Classical Library, Harvard University Press).

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it In Catilinam I.2 and II.1 (63 BCE) (Loeb Classical Library, Harvard University Press)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:18.780609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6135edbb-537d-4fd3-8774-9039c65679bc · outbound

This paper cites Inferno, Canto XXXIII, l.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Inferno, Canto XXXIII, l

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:18.791686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48ec008b-61ff-4094-b00a-75c67d0849cc · outbound

This paper cites an unresolved cited work.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:18.803360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b64f4103-44f9-42d9-9e2a-ce09e7b20239 · outbound

This paper cites Attention Is All You Need.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Attention Is All You Need

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:18.817184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3638af3-a3d6-4c0a-a724-375ed6ac1573 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it The Curious Case of Neural Text Degeneration

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:18.844123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10a43755-dcec-432e-9567-15fca5a3bb37 · outbound

This paper cites Training language models to follow instructions with human feedback.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Training language models to follow instructions with human feedback

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:18.986378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19fd96cc-7a26-4dfb-92b5-49e260a5df90 · outbound

This paper cites Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:19.125548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e340c35-db7b-4ae3-b445-bb56afb1df7a · outbound

This paper cites Delving into LLM-assisted writing in biomedical publications through excess vocabulary.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Delving into LLM-assisted writing in biomedical publications through excess vocabulary

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:19.298335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ea21ce7-56cd-41bd-bb63-1652c9bb7313 · outbound

This paper cites Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:19.486004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3ac821d-4af9-4bf9-8a80-4d5bfab58f65 · outbound

This paper cites GLTR: Statistical Detection and Visualization of Generated Text.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it GLTR: Statistical Detection and Visualization of Generated Text

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:19.602492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43f56e7a-8079-400a-81a3-360532290ec7 · outbound

This paper cites DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:19.665985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14b1676f-e658-4b09-b319-8d2721be5c67 · outbound

This paper cites How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:19.853775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b2a924d-2dc3-439c-8edb-6b02eb94eaac · outbound

This paper cites an unresolved cited work.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:19.944924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 083a7325-97bd-473c-b76b-6efe06a273ed · outbound

This paper cites an unresolved cited work.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:20.006871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c3b604f-ea6e-41e0-9d76-ec45ec6a32a1 · outbound

This paper cites Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:20.076244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 767e0d77-5b94-4ac8-a8f9-ea8877d3d117 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:20.138177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6bfb5a0-1c28-431e-97c4-ef6c2cd5dac2 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Large Language Models are Zero-Shot Reasoners

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:20.246144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 353347f2-1524-4582-841a-3453ac9d9e16 · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Self-Refine: Iterative Refinement with Self-Feedback

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:20.355144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1519ebd8-4677-4444-861c-a27786592843 · outbound

This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Large Language Models Cannot Self-Correct Reasoning Yet

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:20.465603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01dcfa7f-bbca-488e-ab02-d28e643c6b92 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Constitutional AI: Harmlessness from AI Feedback

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:20.537229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b49f418-fcd0-49a4-8a5a-1c363cd6bcfa · outbound

This paper cites an unresolved cited work.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:20.610070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 375f9c83-0b11-4fff-97f7-431b787ad599 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it LoRA: Low-Rank Adaptation of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:20.682496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc0093f0-1e2d-4788-9cb6-7a3fb1d5d253 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it QLoRA: Efficient Finetuning of Quantized LLMs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:20.792081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14bbd883-ff23-43c1-9fcd-94399cad7032 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:20.930829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd86d842-cf82-4025-a461-858b1b723fd7 · outbound

This paper cites Plug and Play Language Models: A Simple Approach to Controlled Text Generation.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Plug and Play Language Models: A Simple Approach to Controlled Text Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:21.034343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90936885-b2fe-4856-a6be-b1a935d5a64f · outbound

This paper cites GeDi: Generative Discriminator Guided Sequence Generation.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it GeDi: Generative Discriminator Guided Sequence Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:21.110599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44efd5d1-f1a7-4e09-86c7-a893d0e8620b · outbound

This paper cites FUDGE: Controlled Text Generation With Future Discriminators.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it FUDGE: Controlled Text Generation With Future Discriminators

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:21.192392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74f59a6c-13a7-4010-a5c8-0490da926714 · outbound

This paper cites Steering Language Models With Activation Engineering.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Steering Language Models With Activation Engineering

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:21.276889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44956c74-c206-43fd-9fc8-9661b849f0d1 · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Representation Engineering: A Top-Down Approach to AI Transparency

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:21.356526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d53fe065-baf3-4403-b413-cd3ebdbacb38 · outbound

This paper cites Inference-Time Intervention: Eliciting Truthful Answers from a Language Model.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:21.469314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90313cbe-d6fd-423c-839a-24adccc499ea · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it Towards Understanding Sycophancy in Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T07:19:21.585808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.